Identifying content in an incoming message on a social network

• US 10,452,687 B2
• Filed: 07/12/2016
• Issued: 10/22/2019
• Est. Priority Date: 07/31/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Albouyeh, Shadi E., Carter, Bernadette A., Hoy, Jeffrey R., Trunzo, Stephanie L.
• Primary Examiner(s): Duong, Oanh
• Application Number:
  US15/208,571
• Publication Number:
  US 20160321349A1
• Time in Patent Office: 1,197 Days
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 3/14 Digital output to display device ; Cooperation and interconnection of the display device with other functional units
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

Identifying content in an incoming message on a social network includes categorizing a sender-recipient relationship between a sender and a recipient of an incoming message in an activity stream in a display.

Claims

1. A system for identifying content in an incoming message on a social network, comprising:

a relationship categorization engine to categorize a type of a sender-recipient relationship between a sender and an individual recipient of the incoming message in an activity stream in a display, the type of relationship being selected from a predetermined list of relationship categories;

a content categorization engine to categorize the content of said incoming message;

a determination engine to determine an impact of the incoming message on the recipient based on the sender-recipient relationship; and

a generation engine to generate a recommendation to counteract a negative impact of the incoming message on the recipient.

2. The system of claim 1, wherein the determination engine further determines a degree of sender attitude about the incoming message and the determination engine further determines the impact of the incoming message on the recipient based on both the sender-recipient relationship and the degree of sender attitude about the incoming message.

3. The system of claim 1, wherein said relationship categorization engine categorizes multiple sender-recipient relationships between said sender and said recipient.

4. The system of claim 1, further comprising the generation engine to generate a recommendation for the recipient based on the content of the incoming message and the sender-recipient relationship.

5. The system of claim 4, further comprising a reference engine to reference a source to assist said recipient in accomplishing said recommendation.

6. The system of claim 4, further comprising a display engine to display said recommendation in said display.

7. A system for identifying content in an incoming message on a social network, comprising:

a relationship categorization engine to categorize a sender-recipient relationship between a sender and a recipient of the incoming message in an activity stream in a display, wherein the relationship categorization engine categorizes the sender-recipient relationship as positive or negative;

a content categorization engine to categorize the content of said incoming message;

a determination engine to determine a degree of sender attitude about the incoming message;

a combination engine to determine an impact of the incoming message on the recipient based on a combination of the sender-recipient relationship, content of the incoming message and degree of sender attitude about the incoming message; and

a generation engine to generate a recommendation for the recipient based on said incoming message and determined impact of the incoming message on the recipient.

8. The system of claim 7, wherein the relationship categorization engine notes a plurality of sender-recipient relationships and selects a relevant sender-recipient relationship based on the content of the incoming message, where the relevant sender-recipient relationship is then used by the combination engine in determining the impact of the incoming message on the recipient.

9. A system for identifying content in an incoming message on a social network, comprising:

a relationship categorization engine to categorize a sender-recipient relationship between an individual sender and an individual recipient of the incoming message in an activity stream of the individual recipient as presented in a display to the individual recipient, the relationship categorization engine to determine whether the individual sender and the individual recipient are competitors and to accordingly categorize the sender-recipient relationship as competitive or not;

a content categorization engine to categorize the content of said incoming message;

a determination engine to determine an impact of the incoming message on the individual recipient based on a determined category of the content of the incoming message and a determined category of the relationship between the individual sender and individual recipient; and

a generation engine to generate a recommendation for the recipient based on said incoming message and determined impact of the incoming message on the recipient.

10. The system of claim 9, wherein the determination engine further determines a degree of sender attitude about the incoming message and the determination engine further determines the impact of the incoming message on the recipient based on both the sender-recipient relationship and the degree of sender attitude about the incoming message.

11. The system of claim 10, wherein the degree of sender attitude is specified by the determination engine on an attitude continuum including very negative, negative, somewhat negative, neutral, somewhat positive, positive, very positive.

12. The system of claim 9, wherein said relationship categorization engine categorizes multiple sender-recipient relationships between the individual sender and the individual recipient including both professional and personal relationships.

13. The system of claim 9, further comprising a generation engine to generate a recommendation for the recipient based on the content of the incoming message and the sender-recipient relationship.

14. The system of claim 13, further comprising a reference engine to reference a source to assist said recipient in accomplishing said recommendation.